2.10. Ydata Profiling#
Ydata Profiling (antigo Pandas Profiling) é uma biblioteca open source, baseada nos principais pacotes usados em analise de dados (Seaborn, Matplotlib, Pandas, Numpy) que permite a elaboração de análises exploratórias com código simples e de forma rapida!
2.10.1. Instalando o Ydata Profiling#
!pip install --upgrade pip
!pip install --upgrade Pillow
Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/
Requirement already satisfied: pip in /usr/local/lib/python3.10/dist-packages (23.1.2)
Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/
Requirement already satisfied: Pillow in /usr/local/lib/python3.10/dist-packages (9.5.0)
# baixar os arquivos .csv
!pip install -U pandas-profiling
Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/
Requirement already satisfied: pandas-profiling in /usr/local/lib/python3.10/dist-packages (3.6.6)
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import pandas as pd
import numpy as np
from ydata_profiling import ProfileReport
from ydata_profiling.utils.cache import cache_file
file_name = cache_file(
"titanic.csv",
"https://raw.githubusercontent.com/datasciencedojo/datasets/master/titanic.csv",
)
df = pd.read_csv(file_name)
profile = ProfileReport(df, title="Titanic Dataset", html={"style": {"full_width": True}}, sort=None)
profile